## Teaching

#### Modern Complexity Theory (Monsoon 2020)

A first undergraduate course on Computational Complexity Theory.

#### Probability & Statistics (Monsoon 2020)

A first course in probability and statistics with a focus on discrete spaces.

#### Probabilistic Graphical Models

Probabilistic Graphical Models refers to i.) concise representations of probability distributions using graphs ii.) efficient algorithms for sampling distributions represented in such form iii.) learning these representations from data.

#### Advanced Mathematical Structures

This course is intended to familiarize the students with the types of mathematical reasoning found in theoretical research on computing and communications. The course contains a broad set of intermediate and advanced level topics in Algebra, Combinatorics, Probability and Graph Theory.

#### Probability & Statistics

A first undergraduate course in probability and statistics with a focus on discrete spaces.

#### Machine Learning in Natural Sciences

A project oriented course in applying machine learning techniques to solving problems in natural sciences.

#### Efficient CNNs

Surveying methods used to make deep learning models efficient.

#### Multi Object Tracking using Deep Learning

Surveying Deep learning methods used in Reinforcement Learning

#### Complexity Theory

A short 12 lecture course on Computational Complexity Theory.